Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F31DC3180C4CDEF0652C7E48B367A1BB3C68758C7036E0589EA47AE6B8AD66CC17885 |
|
CONTENT
ssdeep
|
24:hPCcH4/u9tNG0lC9HXHJbqADHXHJaVMU62DQlABZFUR/2fzw92PS6dT:hH6u9XG0lIb5NaVMU66Qw0Ye6dT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c96636dde09c9c62 |
|
VISUAL
aHash
|
1000187e78181800 |
|
VISUAL
dHash
|
b4c4b2b2b23232cc |
|
VISUAL
wHash
|
5c6278fff8ba9800 |
|
VISUAL
colorHash
|
39c00010000 |
|
VISUAL
cropResistant
|
8cb6868e8ea626a6,b4c4b2b2b23232cc |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)